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A list of all the posts and pages found on the site. For you robots out there is an XML version available for digesting as well.

Pages

Posts

Future Blog Post

less than 1 minute read

Published:

This post will show up by default. To disable scheduling of future posts, edit config.yml and set future: false.

Blog Post number 4

less than 1 minute read

Published:

This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.

Blog Post number 3

less than 1 minute read

Published:

This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.

Blog Post number 2

less than 1 minute read

Published:

This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.

Blog Post number 1

less than 1 minute read

Published:

This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.

portfolio

publications

Publications

Published in , 2009

Conference Papers:

  • Pengfei Wei, Xinghua Qu, Wen Song, Zejun Ma. “Dynamic Transfer Gaussian Process Regression”. 31st ACM International Conference on Information and Knowledge Management (CIKM), 2022.
  • Thanh Vinh Vo, Pengfei Wei, Trong Nghia Hoang, Tze Yun Leong. “Adaptive Multi-Source Causal Inference from Observational Data”. 31st ACM International Conference on Information and Knowledge Management (CIKM), 2022.
  • Xinghua Qu, Pengfei Wei, Mingyong Gao, Zhu Sun, Yew-Soon Ong, Zejun Ma. “Synthesising Audio Adversarial Examples for Automatic Speech Recognition”. ACM Conference on Knowledge Discovery and Data Mining (SIGKDD), 2022.
  • Xinghua Qu, Yew-Soon Ong, Abhishek Gupta, Pengfei Wei, Zhu Sun, Zejun Ma. “Importance Prioritized Policy Distillation”, ACM Conference on Knowledge Discovery and Data Mining (SIGKDD), 2022.
  • Yizhou Lu, Mingkun Huang, Xinghua Qu, Pengfei Wei, Zejun Ma. “Language adaptive cross-lingual speech representation learning with sparse sharing sub-networks”. IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2022. (PDF)
  • Thanh Vinh Vo, Pengfei Wei, Wicher Bergsma, Tze Yun Leong. “Causal Modeling with Stochastic Confounders”. The 24th International Conference on Artificial Intelligence and Statistics (AISTATS), 2021, Online. (PDF)
  • Pengfei Wei, Yiping Ke, Zhiqiang Xu, and Tze Yun Leong. “Succinct Adaptive Manifold Transfer”. International Confe rence on Information and Knowledge Management (CIKM), 2020, Ireland, Online. (PDF)
  • Zhining Liu, Pengfei Wei, Jing Jiang, Wei Cao, Jiang Bian, and Yi Chang. “MESA: Effective Ensemble Imbalanced Learning with MEta SAmpler”. Neural Information Processing Systems (NeurIPS), 2020, Online. (PDF)
  • Han Zheng, Pengfei Wei, Jing Jiang, Guodong Long, Qinghua Lu, and Chengqi Zhang. “Cooperative Heterogeneous Deep Reinforcement Learning”. Neural Information Processing Systems (NeurIPS), 2020, Online. (PDF)
  • Pengfei Wei, Tze Yun Leong. “Randomized Transferable Machine”. International Conference on Pattern Recognition (ICPR), 2020, Online. (PDF)
  • Pengfei Wei, Xinhua Qu, Yiping Ke, Tze Yun Leong, and Yew Soon Ong. “Adaptive Knowledge Transfer based on Transfer Neural Kernel Network”. International Conference on Autonomous Agents and Multi-Agent Systems (AAMAS), 2020, 1485-1493. (PDF)
  • Han Zheng, Jing Jiang, Pengfei Wei, Guodong Long, Chengqi Zhang. “Competitive and Cooperative Heterogeneous Deep Reinforcement Learning”. International Conference on Autonomous Agents and Multi-Agent Systems (AAMAS), 2020, 1656-1664. (PDF)
  • Pengfei Wei, Yiping Ke. “Knowledge Transfer based on Multiple Manifolds Assumption”. International Conference on Information and Knowledge Management (CIKM), 2019, Beijing, China, 279-287. (PDF)
  • Ruichu Cai, Zijian Li, Pengfei Wei, Jie Qiao, Kun Zhang, Zhifeng Hao. “Learning Disentangled Semantic Representation for Domain Adaptation”, International Joint Conference on Artificial Intelligence (IJCAI), 2019, 2060–2066. (PDF)
  • Pengfei Wei, Ramon Sagarna, Yiping Ke, Yew Soon Ong. “Uncluttered Domain Sub-similarity for Transfer Regression”, International Conference on Data Mining (ICDM), 2018, 1314-1319. (PDF)
  • Tianbo Li, Pengfei Wei, and Yiping Ke. “Transfer Hawkes Processes with Content Information”, International Conference on Data Mining (ICDM), 2018, 1116-1121. (PDF)
  • Pengfei Wei, Ramon Sagarna, Yiping Ke, Yew Soon Ong, Chi Keong Goh. “Source-Target Similarity Modelings for Multi-Source Transfer Gaussian Process Regression”, International Conference on Machine Learning (ICML), 2017, 3722-3731. (PDF)
  • Pengfei Wei, Yiping Ke, Chi Keong Goh. “Domain Specific Feature Transfer for Hybrid Domain Adaptation”, International Conference on Data Mining (ICDM), 2017, 1027-1032. (PDF)
  • Pengfei Wei, Yiping Ke, Chi Keong Goh. “Deep Nonlinear Feature Coding for Unsupervised Domain Adaptation”, International Joint Conference on Artificial Intelligence (IJCAI), 2016, 2189-2195. (PDF)

talks

teaching

Teaching experience 1

Undergraduate Cource, Beihang University, School of Electronics and information Engineering, 1900

I served as the teachning assistant of the undergraduate cource, Circuit Analysis, for one semester of 2012.

Teaching experience 2

Undergraduate Cource, Nanyang Technological Unviersity, School of Computer Science and Engineering, 1900

I served as the teaching assistant of the SCSE undergradate cource, CE/CZ 2001: Algorithms, for 3 semsters from 2015 to 2017.

Teaching experience 3

Undergraduate Cource, Nanyang Technological Unviersity, School of Computer Science and Engineering, 1900

I served as the teaching assistant of the SCSE undergradate cource, CZ2007: Introduction to Databases, for one semster of 2016.